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Related Concept Videos

Testing Water Quality01:14

Testing Water Quality

244
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
244

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Predicting anoxia in low-nutrient temperate lakes.

Jeremy Deeds1,2, Aria Amirbahman3, Stephen A Norton4

  • 1The Maine Department of Environmental Protection, Augusta, Maine, 04333, USA.

Ecological Applications : a Publication of the Ecological Society of America
|April 22, 2021
PubMed
Summary
This summary is machine-generated.

Lake morphometry and stratification dynamics are key drivers of anoxia in low-nutrient lakes. While total phosphorus (TP) can refine predictions, physical lake characteristics are most critical for understanding anoxic conditions.

Keywords:
dissolved organic carbondissolved oxygenlake anoxiamorphometrynorth temperate lakesphosphorusstratification

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Area of Science:

  • Limnology
  • Ecology
  • Environmental Science

Background:

  • Hypolimnetic anoxia in lakes can harm aquatic life and release phosphorus.
  • Anoxia is often caused by organic matter decomposition, worsened by nutrient loads.
  • Natural anoxia, influenced by lake basin shape, is crucial for reference condition assessments.

Purpose of the Study:

  • To investigate factors causing natural versus human-influenced anoxia in low-nutrient lakes.
  • To develop predictive models for hypolimnetic anoxia extent based on lake characteristics.
  • To assess the roles of morphometry, thermal stratification, total phosphorus (TP), and dissolved organic carbon (DOC) in anoxia.

Main Methods:

  • Constructed logistic regression models to predict anoxic extent (≥10% aerial coverage).
  • Tested variables including maximum lake depth, thermocline depth, epilimnetic TP, and DOC.
  • Compared model performance with and without TP and for lakes with limited bathymetric data.

Main Results:

  • Maximum lake depth and proportion of area under the metalimnion were key predictors (84% accuracy).
  • Including TP improved model accuracy slightly (86%), but morphometric factors remained dominant.
  • A model using maximum depth and thermocline depth predicted anoxia with 81% accuracy.
  • DOC did not significantly improve model performance.

Conclusions:

  • Lake morphometry and stratification dynamics are the primary drivers of anoxic extent in low-nutrient temperate lakes.
  • Total phosphorus is a significant factor but secondary to physical lake characteristics.
  • Predictive models based on morphometry and stratification aid in understanding and managing lake ecosystems and potential regime shifts.